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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture covers topics related to probability and statistics, including the de Moivre-Laplace theorem, joint random variables, marginal and conditional distributions, and the multinomial distribution. It also discusses the concepts of independence, covariance, correlation, and linear combinations of random variables. The limitations of correlation and properties of correlation are explored, along with examples illustrating these concepts. The lecture concludes with a discussion on the heredity of a quantitative genetic characteristic modeled using random variables.